Ancillary Ultrasonic Rangefinder for Autonomous Vehicles

Abstract

The latest fatal accidents of autonomous vehicle happened because of undetected peer vehicles or persons. These fatal accidents call attention to the rangefinder devices which are a very significant component of every autonomous vehicle. The rangefinder is the starting point for the decision whether the vehicle should continue to go, to stop, or bypassing an object. In this paper an ultrasonic based rangefinder device for autonomous vehicles is presented. The device can be used as an ancillary system in addition to standard LIDAR system used by almost all the autonomous vehicles, with the aim of overcoming the obstructions of conventional LIDAR systems.

Design and Analysis of Collaborative Unmanned Surface-Aerial Vehicle Cruise Systems

“…In this section, a synergetic cruises system consisting of one USV and three UAVs, that is, USV-UAV (1,3), is chosen to verify the effectiveness evaluation model proposed. Without loss of generality, we assume that the three UAVs belong to the same type and have the same performance.…”

“…Firstly, there are ten experts scoring for "information sharing" marked as (3,5,5,7,5,3,7,5,3,5). We can get numerical characteristics value which is (4.800, 1.3536, 0.5879).…”

“…Generally, the UAV can fly in an altitude of at least some hundreds of meters. Due to this different characteristic compared to the USV, the narrow beam demerit of LIDAR based rangefinder [3] would not be a serious obstruction to the UAV. Hence, a LIDAR based rangefinder could be much more suitable than the ultrasonic rangefinder [3] to be equipped with the UAV for objects detection.…”

“…Due to this different characteristic compared to the USV, the narrow beam demerit of LIDAR based rangefinder [3] would not be a serious obstruction to the UAV. Hence, a LIDAR based rangefinder could be much more suitable than the ultrasonic rangefinder [3] to be equipped with the UAV for objects detection. Additionally, this characteristic of the USV also impacts the selection and use of a mechanism to decode information from camera pictures.…”

Sensitivity and Performance Evaluation of Multiple-Model State Estimation Algorithms for Autonomous Vehicle Functions

“…As it was pointed out in [25], narrow beam range finders like long range radar and especially lidar have a possibility of failing to detect thin objects, for example, lampposts. An additional problem is that even if the sensor correctly detects an obstacle, a filtering algorithm might not recognize its existence.…”